Haemorrhagic disorders must be excluded prior to any operation or other invasive procedure that has the potential to involve serious bleeding. When assessing the individual risk of bleeding, screening tests of hemostasis must be combined with the patient's clinical history and symptoms, and any history of bleeding must be explored under direct medical supervision using a standardized questionnaire. However, this bleeding history is neither very specific, nor is it particularly sensitive. Screening tests that have been found to be useful include platelet count, activated partial thrombo plastin time (aPTT), prothrombin time (PT) and clottable fibrinogen. No reliable, sensitive and specific screening test is however available today to screen for platelet dysfunction or von Willebrand disease. A specialized coagulation laboratory should be involved when the bleeding history or laboratory screening indicate a potential haemorrhagic disorder.
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Vis Comput Ind Biomed Art
January 2025
School of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Fluorescence endoscopy technology utilizes a light source of a specific wavelength to excite the fluorescence signals of biological tissues. This capability is extremely valuable for the early detection and precise diagnosis of pathological changes. Identifying a suitable experimental approach and metric for objectively and quantitatively assessing the imaging quality of fluorescence endoscopy is imperative to enhance the image evaluation criteria of fluorescence imaging technology.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Institute for Research in Operative Medicine (IFOM), Faculty of Health, School of Medicine, Witten/Herdecke University, Ostmerheimer Str. 200, 51109, Cologne, Germany.
Purpose: Our aim was to generate evidence- and consensus-based recommendations for the management of mass casualty incidents (MCIs) based on current evidence. This guideline topic is part of the 2022 update of the German guideline on the treatment of patients with severe/multiple injuries.
Methods: MEDLINE and Embase were systematically searched to August 2021.
Invest Ophthalmol Vis Sci
January 2025
UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Purpose: The purpose of this study was to analyze the retinal sensitivity under photopic, mesopic, and scotopic conditions in a cohort of patients affected with KCNV2-associated retinopathy.
Methods: Cross-sectional evaluation of molecularly confirmed individuals was conducted. Data were obtained prospectively.
QJM
January 2025
Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, 510010, China.
Background: ALG8-congenital disorder of glycosylation (ALG8-CDG) is a rare inherited metabolic disorder leading to severe multisystem manifestations, with no reported prenatal patients to date.
Methods: We describe two fetuses from a single family with ALG8-CDG presenting with prenatal hydrops, undergoing comprehensive prenatal ultrasound, umbilical cord blood biochemistry, autopsy, placental pathology, and genetic testing.
Results: Prenatal ultrasound revealed fetal hydrops, skeletal anomalies, cardiac developmental abnormalities, cataracts, echogenic kidneys and bowel, oligohydramnios, choroid plexus cysts, and intrauterine growth restriction.
Radiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
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